Collaborative coding

Jupyter is a tool for collaboratively editing Python, Julia or R code in a browser-based editor. The code is stored in a notebook and can be executed and shared for testing and demonstrations. The cloud-based portal JupyterHub serves as an interface and manages created notebooks. Jupyter thus provides an ideal basis for interactive coding in the fields of teaching and research.

Edit and execute code collaboratively

Jupyter allows for the collaborative and real-time editing of Python, Julia or R code in a browser-based editor. The code is stored in notebooks that support LaTeX and Markdown. The notebook can be executed and shared for code testing and demonstrations as well as be exported in PDF, HTML and Markdown formats.

As an editor, Jupyter is integrated into the cloud-based portal JupyterHub. The created notebooks can be managed and shared from here. This way, Jupyter can be used in teaching to learn a programming language through interactive coding. Individual programming and research projects can also be supported by sharing and the associated feedback possibilities.

Jupyter

open tool
collaboration teaching software development

Further information

The privacy policy can be found here. The JupyterHub of the SCC (Scientific Compute Cluster) can be used to process large data sets or complex models.

Provider